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Footprint tracker: supporting diary studies with lifelogging

Published:27 April 2013Publication History

ABSTRACT

As HCI shifts "to the wild", in-situ methods such as Diary Methods and the Experience Sampling Method are gaining momentum. However, researchers have acknowledged the intrusiveness and lack of realism in these methods and have proposed solutions, notably through lightweight and rich media capture. In this paper we explore the concept of lifelogging as an alternative solution to these two challenges. We describe Footprint Tracker, a tool that allows the review of lifelogs with the aim to support recall and reflection over daily activities and experiences. In a field trial, we study how four different types of cues, namely visual, location, temporal and social context, trigger memories of recent events and associated emotions. We conclude with a number of implications for the design of lifelogging systems that support recall and reflection upon recent events as well as ones lying further in our past.

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References

  1. Barsalou, L. W. (1988). The content and organization of autobiographical memories. In: Neisser, U., Winograd, E. (Eds.), Remembering reconsidered: Ecological and traditional approaches to the study of memory, 193--243.Google ScholarGoogle Scholar
  2. Bartlett, F. C. (1932). Remembering: A Study in Experimental and Social Psychology. Cambridge University Press.Google ScholarGoogle Scholar
  3. Blighe, M., & O'Connor, N. E. (2008). MyPlaces: detecting important settings in a visual diary. In ACM CIVR, 195--204. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual review of psychology, 54 (1), 579--616.Google ScholarGoogle Scholar
  5. Brandt, J., Weiss, N., & Klemmer, S. R. (2007). txt 4 l8r: lowering the burden for diary studies under mobile conditions. In CHI'07 extended abstracts, 2303--2308. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Brown, B. A., Sellen, A. J., & O'hara, K. P. (2000). A diary study of information capture in working life. In Proc. of CHI 2000, 438--445. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Burke, M., Marlow, C., & Lento, T. (2010). Social network activity and social well-being. In Proc. of CHI'08, 1909--1912. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Carter, S., & Mankoff, J. (2005). When participants do the capturing: the role of media in diary studies. CHI'05, 899--908. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Consolvo, S., & Walker, M. (2003). Using the experience sampling method to evaluate ubicomp applications. Pervasive Computing, IEEE, 2(2), 24--31. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Conway, M. A. (2009). Episodic memories. Neuropsychologia, 47(11), 2305--2313.Google ScholarGoogle Scholar
  11. Deese, J., & Kaufman, R. A. (1957). Serial effects in recall of unorganized and sequentially organized verbal material. Journal of experimental psychology, 54(3), 180.Google ScholarGoogle ScholarCross RefCross Ref
  12. Farrell, S. (2012). Temporal clustering and sequencing in short-term memory and episodic memory. Psychological review, 119(2), 223.Google ScholarGoogle Scholar
  13. Guan, Z., Lee, S., Cuddihy, E., and Ramey, J. (2006) The validity of the stimulated retrospective think-aloud method as measured by eye tracking. In Proc. of CHI '06, 1253--1262. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Hart, J. T. (1965). Memory and the feeling-of-knowing experience. Journal of educational psychology, 56(4), 208.Google ScholarGoogle ScholarCross RefCross Ref
  15. Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science, 306 (5702), 1776--1780.Google ScholarGoogle Scholar
  16. Kalnikaite, V., Sellen, A., Whittaker, S., & Kirk, D. (2010). Now let me see where i was: understanding how lifelogs mediate memory. In Proc. of CHI 2010, 2045--2054. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Karapanos, E. (2012). Experience Sampling, Day Reconstruction, what's next? Towards technology-assisted reconstruction, M-ITI internal report.Google ScholarGoogle Scholar
  18. Karapanos, E., Martens, J. B., & Hassenzahl, M. (2012) Reconstructing Experiences with iScale. International Journal of Human-Computer Studies, 70 (11), 849--865. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Karapanos, E., Zimmerman, J., Forlizzi, J., & Martens, J. B. (2009). User experience over time: an initial framework. In Proc. of CHI '09, 729--738. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Lamming, M. and Flynn, M. (1994) 'Forget-me-not' Intimate Computing in Support of Human Memory, In Proc. Of FRIEND21, 1994.Google ScholarGoogle Scholar
  21. Lee, M. L., & Dey, A. K. (2007). Providing good memory cues for people with episodic memory impairment. In Proc. of ACM ASSETS 2009, 131--138. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Marshall, C. (2007) How People Manage Personal Information over a Lifetime, In W. Jones and J. Teevan, (Eds.), Personal Information Management, 57--75.Google ScholarGoogle Scholar
  23. Mcisaac, H. K., Eich, Eric. (2002), Vantage point in episodic memory, Psychonomic Bulletin & Review, 9 (1), 146--150.Google ScholarGoogle ScholarCross RefCross Ref
  24. Nguyen, D. H., Marcu, G., Hayes, G. R., Truong, K. N., Scott, J., Langheinrich, M., & Roduner, C. (2009). Encountering Sensecam: personal recording technologies in everyday life. In Ubicomp'09, 165--174. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Robinson, J. A., & Swanson, K. L. (1993). Field and observer modes of remembering. Memory, 1(3), 169--184.Google ScholarGoogle ScholarCross RefCross Ref
  26. Robinson, M. D., & Clore, G. L. (2002). Belief and feeling: evidence for an accessibility model of emotional self-report. Psychological bulletin, 128(6), 935.Google ScholarGoogle Scholar
  27. Scollon, C. N., Kim-Prieto, C., & Diener, E. (2003). Experience sampling: Promises and pitfalls, strengths and weaknesses. Journal of Happiness Studies, 4, 5--34.Google ScholarGoogle ScholarCross RefCross Ref
  28. Sellen, A. J., & Whittaker, S. (2010). Beyond total capture: a constructive critique of lifelogging. CACM, 53(5), 70--77. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of experimental Psychology: Human learning and Memory, 4(6), 592.Google ScholarGoogle ScholarCross RefCross Ref
  30. Thompson, C. P., Skowronski, J. J., & Lee, D. J. (1988). Telescoping in dating naturally occurring events. Memory & Cognition, 16(5), 461--468.Google ScholarGoogle ScholarCross RefCross Ref
  31. Truong, K. N., & Hayes, G. R. (2009). Ubiquitous computing for capture and access. Foundations and Trends in Human-Computer Interaction, 2(2), 95--171. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Tulving, E. (1984). Precis of Elements of Episodic Memory. Behavioural and Brain Sciences 7 (2), 223--68.Google ScholarGoogle ScholarCross RefCross Ref
  33. Van Den Haak, M., De Jong, M., & Schellens, P. J. (2003). Retrospective vs. concurrent think-aloud protocols: testing the usability of an online library catalogue. Behaviour & Information Technology, 22(5), 339--351.Google ScholarGoogle ScholarCross RefCross Ref
  34. Venkatanathan, J., Ferreira, D., Benisch, M., Lin, J., Karapanos, E., Kostakos, V., Sadeh, N., Toch, E. (2011). Improving users' consistency when recalling location sharing preferences. In Proc. of INTERACT 2011, 380--387. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Whittaker, S., Bergman O., Clough P. (2010) Easy on that trigger dad: a study of long term family photo retrieval. Personal and Ubiquitous Computing, 14 (1), 31--43. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Whittaker, S., Kalnikaité, V., Petrelli, D., Sellen, A., Villar, N., Bergman, O., Clough, P., & Brockmeier, J. (2012). Sociotechnical Lifelogging: Deriving Design Principles for a Future Proof Digital Past. Human-Computer Interaction, 27, 37--62.Google ScholarGoogle Scholar
  37. Whitten, W. B., Leonard, J. M. (1981), Directed search through autobiographical memory, Memory & Cognition, 566--579.Google ScholarGoogle Scholar

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  1. Footprint tracker: supporting diary studies with lifelogging

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      cover image ACM Conferences
      CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2013
      3550 pages
      ISBN:9781450318990
      DOI:10.1145/2470654

      Copyright © 2013 ACM

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      Publication History

      • Published: 27 April 2013

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      CHI '13 Paper Acceptance Rate392of1,963submissions,20%Overall Acceptance Rate6,199of26,314submissions,24%

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